dcchambers

It's incredible that each model has it's own style that remains relatively consistent throughout all of the different generated examples.

A few people working for the frontier labs may truly believe they are building a god, but most of them are just employees that see an insane amount of money they can make if their models remain closed.

Most of them aren't worried about AI safety, politics, religion, etc. It's really not that deep. They just want to get rich.

There's nothing wrong with that, but let's call a spade a spade.

I think hardware like this is the future for LLM-providers once we reach a point where the models aren't advancing much any more. You could argue we're close now.

The hyperscalers like AWS will made great use of these to serve up models that will be relevant for several years. But right now, we're still seeing significant bumps in model quality every couple of months - especially with open-weight models like Deepseek/Kimi/GLM.

Until that point, though, I don't see how this is ever going to be cost effective vs general purpose hardware.

I also think we'll see miniature versions of this baked into mobile hardware for super fast and efficient on-device LLMs.

Most people IN TECH still don't realize how much hardware prices are going to continue to increase, much less the 95% of the population that's completely unplugged from what's going on with AI-driven hardware demand.

All of these price increases are going to get passed down to consumers eventually via increased prices.

Being unable to use this with zero data retention makes this feel like a non-starter for most enterprise customers.

IME Opus 4.8 (and 4.7) is often a downgrade from 4.6. I find that it tends to overthink and overcomplicate things.

Hobbyist computing is dead for the foreseeable future. These prices are untenable.

I think two things happened:

1. The sheer number of tokens that a coding agent can use flipped the math upside down on this equation. If you use the most expensive model for everything those costs quickly become untenable, even for software companies.

2. We realized many of the coding problems we're solving aren't incredibly difficult.

Probably some combination of: Anthropic is heavily invested in the Rust ecosystem and they want their core tools to be built on Rust. More Rust developers. More Rust training data so LLMs write better Rust code than Zig code. Advertisement for Claude Code doing major work on a high profile open source project.

In 2026 the answer is "job security"

Their pricing has always been a challenge, but I think the biggest issue is that they went way too wide early on in an effort to capture the market. Their product pool was a mile wide but only an inch deep. People quickly realized many of the features they were promised were very rough around the edges or a limited POC. Their UX is pretty unintuitive as well, IMO.

The company is fascinating. The "everything is open" nature of how they build the business is an incredible value for people that want to see how the sausage is made...but it hasn't ultimately lead to a better product.

Incredible. Mutually assured destruction.

The next five years are going to be truly WILD in the software world.

Air-gapped systems are gonna be huge.

Obsidian.

Checks all of your boxes:

   - Backed up to cloud 
   - Has a mobile app that is easy to make small changes 
   - Simple file format like markdown 
   - Option to export data out as a backup  (it's just markdown files, you don't even need to export, just copy them. Or export to PDF)
   - Allow uploading arbitrary files like PDFs, images, receipts etc...  (https://obsidian.md/help/file-formats)
   - Nice to have: support for inline tables of data with simple calculations/sorting

Google Docs doesn't do classic "wiki" things like bi-directional linking. Search, ironically, is also a bit of a mess.

Google Docs was built as a MS Word competitor and that's what it does best. I love Google Docs and I use it every day, but this is one thing I wouldn't use it for.

We're going to see a lot of this over the next 1-2 years.

Software Engineers suddenly feel like they're fighting for their lives for employment, and time won't be "wasted" maintaining OSS for free.

We all need to eat.

The Department of Defense is now the Department of War. They've made their goals clear.

You are not in defense contracting. You are in the business of war contracting.

Take from that what you will.

So it turns out Anthropic was gaslighting everyone on twitter about this then? Swearing that nothing had changed and people were imagining the models got worse?

"Tim Cook to become Apple Executive Chairman"

*John Ternus to become Apple CEO*

Talk about burying the lede, lmao.

I'll definitely put this into the "good problem to have" category.

The eclipse photos are absolutely jaw-dropping.

Does performance not matter?

What if your AI uses an O(n) algorithm in a function when an O(log n) implementation exists? The output would still be "correct"

Generative video is insanely expensive and OpenAI is burning through money. They need to use the compute on things that they actually might make money on - like enterprise Codex usage.

OpenAI is bleeding money faster than they can afford to and they are literally running out of people that they can go to for more. They need to stop the bleeding.

For now...

Here's the thing: NOTHING we do in the US matters when various Southeast Asian countries are rapidly industrializing. And in the rapid growth phase sustainability and clean energy is not a priority.

Then there's a billion and a half people in Africa, also rapidly growing, that may be next.

There's literally nothing that can be done about it. The people with actual ability to make a change don't care.

We're going to have to figure out how to adapt to it. Expect many of the things you love now (seafood, coffee, etc) to be gone within your lifetime.

I agree with this basically 100%.

Say no by default — every feature has a hidden cost: complexity, maintenance, edge cases

AI-assisted development is blowing up this long-standing axiom in the software development world, and I am afraid it's a terrible thing.

Just because you can do something, doesn't mean you should.

We all know this, but no one is willing to fix it.

Be the change you want to see in the world. If you are in management, promote those that see the value in simplicity.

It's an incredible value but a world of resource-hungry vibe-coded webapps and 8GB of RAM just does not feel compatible.

If you primarily use native Apple apps though this thing is awesome. $499 with student discount? This thing is going to do NUMBERS.

I love Raycast. I would probably be called a "power user" - I use it all day long and have a fairly sophisticated and customized configuration and set of workflows. Raycast is actually one of the primary things keeping me on MacOS these days (please release a Linux version!).

I am worried this is the start of them trying to diversify their product offering because revenue has stalled in the core Raycast product and VC demands more returns. I don't want to be jaded, but history teaches me to be. Here's hoping that Raycast itself is still a focus for the company.

A $1600 60hz display in 2026 just feels extortionate.

The Studio Display XDR seems nice, but I wish they would have kept a 32" option.